Two-Stage Stochastic Power Generation Scheduling in Microgrids

被引：0
|
作者：
Eajal, A. A. [1 ]
El-Saadany, E. F. [1 ]
Elrayani, Yousef [2 ]
Ponnambalam, K. [3 ]
机构：
[1] Univ Waterloo, Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
[2] Can Technol Inc, Cambridge, ON N1R 6W8, Canada
[3] Univ Waterloo, Syst Engn Design, Waterloo, ON N2L 3G1, Canada
来源：
2014 IEEE 27TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE) | 2014年
关键词：
Generation scheduling; mu-grid; renewable energy; stochastic optimization; uncertainty;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this study, the power scheduling problem in mu grids is investigated taking the uncertainties in power demand and wind power into account. The problem is formulated as a stochastic mixed-integer linear optimization problem with the objective being minimizing the total mu-grid cost. The objective is subject to a set of operational constraints imposed on the generating units and the system itself. A two-stage stochastic programming method has been applied to find the optimal power generation schedule for a mu-grid. The developed approach was implemented in a General Algebraic Modeling System platform (GAMS). The developed method was tested on a mu-grid consisting of eight dispatchable units and a wind turbine. To demonstrate the necessity of uncertainty modeling, the value of the stochastic solution (VSS) and the expected value of perfect information (EVPI) were used to compare the stochastic power schedule obtained with the deterministic one.
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页数：6
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